Defined jobs are still done by hand, and agents elsewhere multiply faster than the people accountable for them.
AI that does defined jobs, each with a named owner and a way to stop it.
Automate puts AI agents to work on jobs your business already defines, such as customer letters, support on calls and invoice processing. Each job has a named person who owns it, written rules, and a record of what was approved. Our advisers, human and agentic, help you choose the first job and design the organisation around it.
Agents multiply faster than the people accountable for them.
of organisations with AI agents say an agent has exceeded the permissions it was given.
Cloud Security Alliance and Zenity, April 2026 (vendor-sponsored survey of 445 organisations).People draft and summarise with AI, but defined jobs in collections, customer service and finance operations still wait for someone's time.
When an agent sends a letter or answers a customer, few businesses can say who approved it or which rules applied. Only 15% name an owner for most of their agents (Cloud Security Alliance, 2026, vendor-sponsored survey).
Good prompts and workflows live in one person's account and are rebuilt by the next team, with no shared record.
Start where the work is repetitive, high in volume and easy to check.
Automate is strongest in three functions. We do not spread across every team.
An agent drafts customer letters and messages inside your rules, and a trained person approves what is sent. The record shows who approved it. AI does not decide on credit; people do.
See financial servicesCustomer service and contact centreOn Amazon Connect, Contact gives advisers live help during a call and can monitor every call against your rules, not a sample. Monitoring is a capability, not a guarantee of compliance. Complaints triage with Skill Teams is being built.
See the contact centreFinance operationsAn agent extracts invoice data, matches it to purchase orders, flags exceptions and prepares the payment run for a person to approve. This is being built as part of Skill Teams.
See Skill TeamsEvery job has an owner, a rule and a record you can follow.
From the agent that drafts, to the check against your rules, to the person who approves.
In each sector, the same method starts with a different job.
Pick the tab nearest your business. Each shows where Automate is used first, who owns the job and what we bring.
Financial services and lending
Where it is used
Collections letters and messages, complaint replies and help for advisers on calls. An agent drafts or supports each one, and it is checked against your rules, including the Financial Conduct Authority's Consumer Duty.
Who owns it
The chief operating officer owns the process. The head of customer service owns call quality. The finance director signs off cost.
What we bring
Comms for letters, Contact for calls on Amazon Connect, and advice to set the rules. People decide on credit.
Retail and e-commerce
Where it is used
Customer contact in peak season without hiring temporary staff, order and returns questions, and replies that must match your policies. Agents handle routine questions so your people take the difficult ones.
Who owns it
The head of customer service owns replies. The chief operating officer owns fulfilment exceptions and returns. The finance director watches cost.
What we bring
Contact for live support, Comms for customer messages, and written rules for refunds and returns wording.
Legal and accountancy
Where it is used
Client intake checks, document classification and invoice processing, with client material kept out of public AI tools.
Who owns it
The chief operating officer owns intake. The finance director owns invoice processing. The head of customer service owns client replies.
What we bring
Skill Teams for finance work (being built), Comms for client chasers, and advice on supervision rules.
- Drafts letters, messages and replies in your tone.
- Checks each one against your rules.
- Flags anything doubtful, and stops when told to.
- Approves anything consequential before it is sent or paid.
- Owns the job, the rules and the exceptions.
- Decides on credit, hiring and medical matters, which AI does not decide.
Automate does not run unattended. The work is divided so each side does what it does best, and the record shows which was which.
Design your agentic organisation, or start from a pre-built structure.
Agentic Org Structure is a product within Automate, and it is being built. We design a bespoke agentic organisation for you: the agent roles, how work passes between them, the limits on each and the named human owner of each role. Or you start from a pre-built structure from GenWA, maintained and upgraded for you, and adapt it. Either way, every agent role has an owner, written rules and a way to stop.
Estimate the hours one defined job could return to your team.
Enter how many items the job handles each month, the minutes each takes by hand, and the minutes a person still needs to review. You see an estimate built from your own numbers. It is a starting point for a conversation, not a commitment.
Time released calculator
Indicative, from the numbers you enter
- Time is released only for tasks handed over in full. Checking the agent's work is not counted.
- Approval of consequential actions stays with a named person.
Items marked assumption can be edited. No figures are stored or sent.
How this is worked out
Hours a week handed over = tasks x minutes each / 60 x share suitable. Hours released a month = hours a week x working weeks in a month.
Choose one job, name its owner, then widen.
Nothing consequential goes out without an approval you can see.
The record is produced as the work happens. Anything consequential waits for the named person whose authority covers it.
Four steps in order: a document is generated alongside AI use, flagged, approved by a person, and recorded.
- 1Document generated
A record is produced alongside the AI use, as the work happens.
- 2Flagged
Anything that needs a decision is sent to the person who owns it.
- 3Approved by a person
A named person approves, changes or rejects it. AI does not sign off.
- 4Recorded
The decision, the approver and the date are kept with the document.
The products that put agents to work, and where each stands.
Contact is available now, and Comms can be shown in a demo. Skill Teams, Library, Agent Catalogue and Agentic Org Structure are being built.
Live adviser assist, voice and monitoring of every call on Amazon Connect.
See ContactCommsAn agent drafts letters, emails and messages, checks them against your rules and routes them to a person to sign off.
See CommsSkill TeamsTrained agent teams for finance, complaints and onboarding work, each with a named owner. Being built.
See Skill TeamsLibraryA shared, attributed place for the prompts, agents and workflows that work, so nobody rebuilds them. Being built.
See LibraryAgent CatalogueA list of agents you can put to work, what each does and what it needs, to help you choose the first jobs. Being built.
See Agent CatalogueAgentic Org StructureA bespoke agentic organisation, or a pre-built structure from GenWA. Being built.
See Agentic Org StructureIn your AWS or Azure account, or hosted by GenWA on AWS as agreed.
Agents use approved model providers: OpenAI, Anthropic, Amazon Bedrock, Azure OpenAI, Google Gemini or private models. Personal data is redacted before approved outside model calls. Controls apply to the AI you connect and route through GenWA, not to every tool in the business.
Mapping supports compliance and is not legal advice. We prepare the evidence; accredited bodies issue certification.
Advice, product or incubator, each shaped for Automate.
Our advisers, human and agentic, review the jobs you could hand over, choose the first one, and design the owners and rules around it.
See advisoryProductContact and Comms run with your rules and a record behind every job, and can be shown in a demo.
See the productsIncubatorWe build and run an agent function for you, with the controls designed in. You own the prompts, the workflows and the record.
See the incubatorKeep reading
Straight answers.
What is GenWA Automate?
GenWA Automate puts AI agents to work on defined jobs, such as customer letters, support for advisers on calls and invoice processing. Each job has a named owner, written rules, a record of what was approved and a way to stop it.
What is Agentic Org Structure?
It is a product within Automate, and it is being built. We design a bespoke agentic organisation for you, with roles, hand-offs, limits and a named human owner for each agent role, or you start from a pre-built structure from GenWA.
What is the GenWA Toolkit?
The GenWA Toolkit is our paid collection of native tools, refined, maintained and upgraded, with bundles by sector and function. Pre-built agentic organisation structures from GenWA sit alongside it. Contents and prices are confirmed in writing.
Which jobs should we start with?
Start where the work is repetitive, high in volume and easy to check. We see the strongest fit in collections letters and messages, customer service and contact centre calls, and finance operations such as invoice processing. Our advisers, human and agentic, help you choose one.
Who approves what an agent does?
A named person owns each job and approves anything consequential. The agent can draft, check and flag, and it can be stopped. AI is not used for decisions on credit, hiring or medical matters; people decide.
Where does Automate run, and which models does it use?
It runs in your AWS or Azure account, or hosted by GenWA on AWS as agreed. It uses approved model providers: OpenAI, Anthropic, Amazon Bedrock, Azure OpenAI, Google Gemini or private models. Personal data is redacted before approved outside model calls.
Do we have to replace our current systems?
Not to start. We agree how each job connects to the systems you already run, and tell you what is needed before work begins. Controls apply to the AI you connect and route through GenWA.
Bring one job to a demo and see who owns it.
Control-mapped, not certified. We prepare the evidence; accredited bodies issue certification. This supports compliance and is not legal advice.